Patentable/Patents/US-8510340
US-8510340

Categorization of information using natural language processing and predefined templates

PublishedAugust 13, 2013
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

A computer implemented method for generating a report that includes latent information, comprising receiving an input data stream that includes latent information, performing one of normalization, validation, and extraction of the input data stream, processing the input data stream to identify latent information within the data stream that is required for generation of a particular report, wherein said processing of the input data stream to identify latent information comprises of identifying a relevant portion of the input data stream, bounding the relevant portion of the input data stream, classifying and normalizing the bounded data, activating a relevant report template based on said identified latent information, populating said template with template-specified data, and processing the template-specified data to generate a report.

Patent Claims
18 claims

Legal claims defining the scope of protection, as filed with the USPTO.

1

1. A method comprising: identifying, using a processor, a plurality of alternative hypotheses for a medical billing code corresponding to a portion of text documenting a patient encounter; selecting at least two of the alternative hypotheses; and displaying the selected hypotheses to a user documenting the patient encounter; wherein the selecting comprises: scoring each hypothesis of the plurality of alternative hypotheses; and selecting hypotheses of the plurality of alternative hypotheses that exceed a threshold score.

2

2. The method of claim 1 , wherein each of the plurality of alternative hypotheses represents a different medical billing code.

3

3. The method of claim 1 , wherein each of the plurality of alternative hypotheses represents a medical billing code selected from the group consisting of an ICD code, a CPT code, and an E&M code.

4

4. The method of claim 1 , further comprising: allowing the user to choose a billing code from among the displayed alternative hypotheses; and designating the billing code chosen by the user as accurately representing information corresponding to the portion of the text.

5

5. The method of claim 4 , wherein the user is allowed to choose at most one billing code from among the displayed alternative hypotheses.

6

6. The method of claim 1 , wherein the displaying comprises displaying the selected hypotheses ranked according to their respective scores.

7

7. Apparatus comprising: a processor; and a processor-readable medium storing processor-executable instructions that, when executed by the processor, perform a method comprising: identifying a plurality of alternative hypotheses for a medical billing code corresponding to a portion of text documenting a patient encounter; selecting at least two of the alternative hypotheses; and displaying the selected hypotheses to a user documenting the patient encounter; wherein the selecting comprises: scoring each hypothesis of the plurality of alternative hypotheses; and selecting hypotheses of the plurality of alternative hypotheses that exceed a threshold score.

8

8. The apparatus of claim 7 , wherein each of the plurality of alternative hypotheses represents a different medical billing code.

9

9. The apparatus of claim 7 , wherein each of the plurality of alternative hypotheses represents a medical billing code selected from the group consisting of an ICD code, a CPT code, and an E&M code.

10

10. The apparatus of claim 7 , wherein the method further comprises: allowing the user to choose a billing code from among the displayed alternative hypotheses; and designating the billing as accurately representing information corresponding to the portion of the text.

11

11. The apparatus of claim 10 , wherein the user is allowed to choose at most one billing code from among the displayed alternative hypotheses.

12

12. The apparatus of claim 7 , wherein the displaying comprises displaying the selected hypotheses ranked according to their respective scores.

13

13. A processor-readable medium encoded with processor-readable code that, when executed, performs a method comprising: identifying a plurality of alternative hypotheses for a medical billing code corresponding to a portion of text documenting a patient encounter; selecting at least two of the alternative hypotheses; and displaying the selected hypotheses to a user documenting the patient encounter; wherein the selecting comprises: scoring each hypotheses of the plurality of alternative hypotheses; and selecting hypotheses of the plurality of alternative hypotheses that exceed a threshold score.

14

14. The processor-readable medium of claim 13 , wherein each of the plurality of alternative hypotheses represents a different medical billing code.

15

15. The processor-readable medium of claim 13 , wherein each of the plurality of alternative hypotheses represents a medical billing code selected from the group consisting of an ICD code, a CPT code, and an E&M code.

16

16. The processor-readable medium of claim 13 , wherein the method further comprises: allowing the user to choose a billing code from among the displayed alternative hypotheses; and designating the billing code chosen by the user as accurately representing information corresponding to the portion of the text.

17

17. The processor-readable medium of claim 16 , wherein the user is allowed to choose at most one billing code from among the displayed alternative hypotheses.

18

18. The processor-readable medium of claim 13 , wherein the displaying comprises displaying the selected hypotheses ranked according to their respective scores.

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Patent Metadata

Filing Date

May 18, 2012

Publication Date

August 13, 2013

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Cite as: Patentable. “Categorization of information using natural language processing and predefined templates” (US-8510340). https://patentable.app/patents/US-8510340

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